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Synopsis
Sinai's book leads the student through the standard material for Probability Theory, with stops along the way for interesting topics such as statistical mechanics, not usually included in a book for beginners. The first part of the book covers discrete random variables, using the same approach, based on Kolmogorov's axioms for probability, used later for the general case. The text is divided into sixteen lectures, each covering a major topic. The introductory notions and classical results are included, of course: random variables, the central limit theorem, the law of large numbers, conditional probability, random walks, etc. Sinai's style is accessible and clear, with interesting examples to accompany new ideas. Besides statistical mechanics, other interesting, less common topics found in the book are: percolation, the concept of stability in the central limit theorem and the study of probability of large deviations. Little more than a standard undergraduate course in analysis is assumed of the reader. Notions from measure theory and Lebesgue integration are introduced in the second half of the text. The book is suitable for second or third year students in mathematics, physics or other natural sciences. It could also be used by more advanced readers who want to learn the mathematics of probability theory and some of its applications in statistical physics.
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Language Notes
Text: English (translation)
Original Language: Russian
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Probability Theory: An Introductory Course
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Probability Theory: An Introductory Course (Springer Textbook)
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Probability Theory: An Introductory Course.
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Paperback. Condition: Used, like new. Almost like new. Large mustard-colored softcover, 1992, Springer, 138pp. No marks or writing, cover like new, very minor foxing on page edges and first few and last few pages. Very nice condition. **We provide professional service and individual attention to your order, daily shipments, and sturdy packaging. FREE TRACKING ON ALL SHIPMENTS WITHIN USA. Seller Inventory # 55502
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